Denise Draper
Statistics and Probability · 1995–2014
A researcher in the Science corpus: 7 papers; trusts 50 researchers and is trusted by 169 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 57 citations into it; #170 of 12,932 by trust here, #584 by citations
- Artificial Intelligence — 20 citations into it; #7,909 of 35,345 by trust here, #17,776 by citations
- Probabilistic & Bayesian Methods — 15 citations into it
- Economics and Econometrics — 9 citations into it
- Management Science and Operations Research — 9 citations into it; #78 of 11,946 by trust here, #482 by citations
- Causal Inference & Discovery — 5 citations into it; #315 of 364 by trust here, #288 by citations
Whom Denise Draper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Jerome H. Friedman
- Jerry A. Hausman
- Sophia Rabe-Hesketh
- Charles E. McCulloch
- M. Wedel
- P. Simpson
- Geert Molenberghs
- David E. Goldberg
- Robert Tibshirani
Who trusts Denise Draper overall
- Andrew Gelman
- G. De’ath
- Ming Ye
- M. Hashem
- Roderick J. A. Little
- Enrique Moral-Benito
- Adrian E. Raftery
- Aaron D. Lanterman
- C. Jackson
- Andrew J. G. Cairns
Papers from Denise Draper's perspective
Ordered by how strongly the researchers Denise Draper trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- INFERENCE AND MISSING DATA
- Regression Shrinkage and Selection via the Lasso
- Estimating the Dimension of a Model
- Statistical Analysis With Missing Data
- Econometric Analysis of Cross Section and Panel Data
- Random Forests
- Greedy function approximation: A gradient boosting machine.
- Heuristics of instability and stabilization in model selection
- The Adaptive Lasso and Its Oracle Properties
Their papers
- Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models (2000) — 215 citations
- A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation (2014) — 59 citations
- Assessment and Propagation of Model Uncertainty (2011) — 1,689 citations
- Heterogeneous Treatment Effects in Digital Experimentation (2014) — 67 citations
- Stochastic Optimization: a Review (2002) — 211 citations
- Bayesian Multilevel Analysis and MCMC (2008) — 70 citations
- Enhancing the Predictive Performance of BayesianGraphical (1995)